{"title":"Development of a geographic information system to study the resilience of energy systems","authors":"G. Danilov, A. Edelev","doi":"10.17212/2782-2001-2022-1-41-58","DOIUrl":null,"url":null,"abstract":"This article describes the reasons for creating a toolkit to study the energy system resilience using the capabilities of GIS technologies using the example of the Oil and Gas of Russia software package. A metamathematical model of the system and its division into main components, namely, topological and functional is described where the structural model reflects the topology of the power network in the form of a grap, and the functional model evaluates the performance taking into account both topological capabilities and functional constraints. Examples of the use of geographic information systems to aid in survivability research and the description of the requirements for developing tools for a new metamathematical model are considered. The architecture of the current \"Oil and Gas of Russia\" version, its features and problems that influenced the development of the new toolkit are described. The reasons for the use and features of the QT API during the development of the toolkit are given. The new toolkit assumes the use of the Model-View-Controller architecture, which allows you to modify each component independently of the other. This architecture also helps to decouple the topological and functional components by encapsulating the topological model in the form of a separate graph, and to use a controller to communicate with the functional component. This makes it possible to use different types of functional models without the need to change the topological model. Each functional model uses its own controller which sets complex of the country as a whole. Thus, the proposed changes to the \"Oil and Gas of Russia\" complex will make it possible to move in the study of resilience from modeling individual power plants to the fuel and energy.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analysis and data processing systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17212/2782-2001-2022-1-41-58","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This article describes the reasons for creating a toolkit to study the energy system resilience using the capabilities of GIS technologies using the example of the Oil and Gas of Russia software package. A metamathematical model of the system and its division into main components, namely, topological and functional is described where the structural model reflects the topology of the power network in the form of a grap, and the functional model evaluates the performance taking into account both topological capabilities and functional constraints. Examples of the use of geographic information systems to aid in survivability research and the description of the requirements for developing tools for a new metamathematical model are considered. The architecture of the current "Oil and Gas of Russia" version, its features and problems that influenced the development of the new toolkit are described. The reasons for the use and features of the QT API during the development of the toolkit are given. The new toolkit assumes the use of the Model-View-Controller architecture, which allows you to modify each component independently of the other. This architecture also helps to decouple the topological and functional components by encapsulating the topological model in the form of a separate graph, and to use a controller to communicate with the functional component. This makes it possible to use different types of functional models without the need to change the topological model. Each functional model uses its own controller which sets complex of the country as a whole. Thus, the proposed changes to the "Oil and Gas of Russia" complex will make it possible to move in the study of resilience from modeling individual power plants to the fuel and energy.
本文以俄罗斯的Oil and Gas软件包为例,描述了创建一个工具包的原因,该工具包使用GIS技术的功能来研究能源系统的弹性。描述了系统的元数学模型及其主要组成部分,即拓扑和功能,其中结构模型以图的形式反映电网的拓扑结构,功能模型同时考虑拓扑能力和功能约束对性能进行评估。本文考虑了使用地理信息系统帮助进行生存能力研究的例子,并描述了开发新元数学模型工具的要求。描述了当前“俄罗斯石油和天然气”版本的架构,其功能和影响新工具包开发的问题。给出了在工具包开发过程中使用QT API的原因和特性。新工具包假定使用模型-视图-控制器体系结构,该体系结构允许您独立地修改每个组件。该体系结构还通过将拓扑模型封装为单独图的形式来帮助解耦拓扑和功能组件,并使用控制器与功能组件通信。这使得使用不同类型的功能模型成为可能,而无需更改拓扑模型。每个功能模型都使用自己的控制器,将国家的复杂情况设置为一个整体。因此,对“俄罗斯石油和天然气”综合体的拟议变更将使弹性研究从单个发电厂的建模转向燃料和能源。